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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

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Showing 1-25 of 49 citing articles:

Coupling the remote sensing data-enhanced SWAT model with the bidirectional long short-term memory model to improve daily streamflow simulations
Lei Jin, Huazhu Xue, Guotao Dong, et al.
Journal of Hydrology (2024) Vol. 634, pp. 131117-131117
Open Access | Times Cited: 18
Assessment of the impact of climate change on streamflow of Ganjiang River catchment via LSTM-based models
Chao Deng, Xin Yin, Jiacheng Zou, et al.
Journal of Hydrology Regional Studies (2024) Vol. 52, pp. 101716-101716
Open Access | Times Cited: 15
Novel time-lag informed deep learning framework for enhanced streamflow prediction and flood early warning in large-scale catchments
Kai Ma, Daming He, Shiyin Liu, et al.
Journal of Hydrology (2024) Vol. 631, pp. 130841-130841
Open Access | Times Cited: 12
A hydrological process-based neural network model for hourly runoff forecasting
Shuai Gao, Shuo Zhang, Yuefei Huang, et al.
Environmental Modelling & Software (2024) Vol. 176, pp. 106029-106029
Closed Access | Times Cited: 10
Improving a hydrological model by coupling it with an LSTM water use forecasting model
Mengqi Wu, Pan Liu, Luguang Liu, et al.
Journal of Hydrology (2024) Vol. 636, pp. 131215-131215
Closed Access | Times Cited: 10
A state-of-the-art review of long short-term memory models with applications in hydrology and water resources
Zhong-kai Feng, J. Zhang, Wen-jing Niu
Applied Soft Computing (2024), pp. 112352-112352
Closed Access | Times Cited: 9
GRAiCE: reconstructing terrestrial water storage anomalies with recurrent neural networks
Irene Palazzoli, Serena Ceola, Pierre Gentine
Scientific Data (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 1
Hydrological Projections in the Third Pole Using Artificial Intelligence and an Observation‐Constrained Cryosphere‐Hydrology Model
Junshui Long, Lei Wang, Deliang Chen, et al.
Earth s Future (2024) Vol. 12, Iss. 4
Open Access | Times Cited: 7
Revolutionizing the Future of Hydrological Science: Impact of Machine Learning and Deep Learning amidst Emerging Explainable AI and Transfer Learning
Rajib Maity, Aman Srivastava, Subharthi Sarkar, et al.
Applied Computing and Geosciences (2024) Vol. 24, pp. 100206-100206
Open Access | Times Cited: 7
Boruta extra tree-bidirectional long short-term memory model development for Pan evaporation forecasting: Investigation of arid climate condition
Masoud Karbasi, Mumtaz Ali, Sayed M. Bateni, et al.
Alexandria Engineering Journal (2023) Vol. 86, pp. 425-442
Open Access | Times Cited: 14
Exploring a spatiotemporal hetero graph-based long short-term memory model for multi-step-ahead flood forecasting
Yuxuan Luo, Yanlai Zhou, Hua Chen, et al.
Journal of Hydrology (2024) Vol. 633, pp. 130937-130937
Closed Access | Times Cited: 6
Cluster-based local modeling (CBLM) paradigm meets deep learning: A novel approach to soil moisture estimation
Vahid Moosavi, Golnaz Zuravand, Seyed Rashid Fallah Shamsi
Journal of Hydrology (2024) Vol. 635, pp. 131161-131161
Closed Access | Times Cited: 4
Application of a hybrid deep learning approach with attention mechanism for evapotranspiration prediction: a case study from the Mount Tai region, China
Shichao Wang, Xiaoge Yu, Yan Li, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 3469-3487
Closed Access | Times Cited: 10
A global perspective on the development and application of glacio-hydrological model
Chengde Yang, Xin Wang, Shichang Kang, et al.
Journal of Hydrology (2025) Vol. 653, pp. 132797-132797
Closed Access
Divergent effects of temperature and precipitation on water flow into the largest lake on the Tibetan Plateau
Yuanwei Wang, Lingxiao Wang, Lei Wang, et al.
npj Climate and Atmospheric Science (2025) Vol. 8, Iss. 1
Open Access
Multi-scale dynamic spatiotemporal graph attention network for forecasting karst spring discharge
Renjie Zhou
Journal of Hydrology (2025), pp. 133289-133289
Closed Access
A Multi‐Resolution Deep‐Learning Surrogate Framework for Global Hydrological Models
Bram Droppers, Marc F. P. Bierkens, Niko Wanders
Water Resources Research (2025) Vol. 61, Iss. 4
Open Access
Urban Flood Prediction Model Based on Transformer-LSTM-Sparrow Search Algorithm
Zixuan Fan, Jinping Zhang, Yanpo Chen, et al.
Water (2025) Vol. 17, Iss. 9, pp. 1404-1404
Open Access
Study on the Evolution of Groundwater Level in Hebei Plain to the South of Beijing and Tianjin Based on LSTM Model
Wei Guo, Huifeng Yang, Zeyan Li, et al.
Sustainability (2025) Vol. 17, Iss. 10, pp. 4394-4394
Open Access
Retracted: Spatiotemporal convolutional long short-term memory for regional streamflow predictions
Abdalla Mohammed, Gerald Corzo
Journal of Environmental Management (2023) Vol. 350, pp. 119585-119585
Open Access | Times Cited: 9
Hybrid Hydrological Modeling for Large Alpine Basins: A Distributed Approach
Bu Li, Ting Sun, Fuqiang Tian, et al.
(2024)
Open Access | Times Cited: 3
Transfer learning framework for streamflow prediction in large-scale transboundary catchments: Sensitivity analysis and applicability in data-scarce basins
Kai Ma, Chaopeng Shen, Ziyue Xu, et al.
Journal of Geographical Sciences (2024) Vol. 34, Iss. 5, pp. 963-984
Closed Access | Times Cited: 3
Improving Stream Solute Predictions With a Modified LSTM Model Incorporating Solute Interdependences and Hysteresis Patterns
Tarun Agrawal, Allison E. Goodwell, Praveen Kumar
Journal of Geophysical Research Machine Learning and Computation (2025) Vol. 2, Iss. 1
Open Access
Temporal cluster-based local deep learning or signal processing-temporal convolutional transformer for daily runoff prediction?
Vahid Moosavi, Sahar Mostafaei, Ronny Berndtsson
Applied Soft Computing (2024) Vol. 155, pp. 111425-111425
Open Access | Times Cited: 2
A gap filling method for daily evapotranspiration of global flux data sets based on deep learning
Long Qian, Lifeng Wu, Zhitao Zhang, et al.
Journal of Hydrology (2024) Vol. 641, pp. 131787-131787
Closed Access | Times Cited: 2
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